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Explore every episode of the podcast Found in AI: AI Search Visibility, SEO, & GEO

Dive into the complete episode list for Found in AI: AI Search Visibility, SEO, & GEO. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
Is YouTube the Missing Piece in Your AI Search Strategy?24 Feb 202600:20:34

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In this episode of Found in AI, Cassie explores a real-time experiment in AI search visibility.

Today’s guest, Zechariah Tokar, shares how he’s been using simple YouTube videos—created with Google’s NotebookLM—to influence local search results. And, it’s working. But it also raises bigger questions about what AI systems are rewarding right now—and what that means for brands.

In this episode, you’ll learn:

  • Why YouTube may be overweighted in local and AI-driven search
  • How short, low-production videos can create entity signals
  • Where NotebookLM fits into rapid video testing
  • Why middle-of-funnel questions may outperform “best of” keywords
  • How to treat YouTube as an experiment—not a long-term shortcut

If you’re working in local SEO or testing AI visibility strategies, this episode offers a candid look at what’s happening right now in the wild.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Does Claude Sonnet 4.6 Actually Change for AI Search Strategy?19 Feb 202600:13:04

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In this episode of Found in AI, Cassie breaks down Anthropic’s release of Claude Sonnet 4.6—and why this isn’t just another model upgrade.

While most coverage focuses on coding benchmarks and token limits, this episode looks at what actually matters for marketers and strategists: how stronger reasoning, larger context windows, and improved stability change the way you should plan your AI search optimization strategy.

Rather than treating Claude as a drafting assistant, Cassie explores how Sonnet 4.6 makes it viable to use AI as a unified intelligence layer—analyzing sales calls, support tickets, churn data, and existing content to surface the insights that truly drive AI visibility.

In this episode, you’ll learn:

  • What a 1M token context window actually means (and what it doesn’t)
  • Why larger context doesn’t equal “bigger search”—but does mean deeper reasoning
  • How improved model stability changes what’s practical in content analysis
  • Why Claude has quietly become the default content partner for many B2B teams
  • How to use unified customer data to inform AI search optimization strategy
  • Why internal data quality directly impacts external AI visibility
  • How recurring objections, language patterns, and positioning gaps shape inclusion in AI-generated answers
  • Why search is moving from retrieval to synthesis to execution
  • What structured clarity and consistent terminology signal to AI systems
  • How to think about AI as a strategic reasoning layer—not just a writing tool

If you’re building AI visibility and wondering how model advancements affect your actual strategy—not just your drafting workflow—this episode will help you recalibrate your approach.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slotsto help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Is Digital PR and How Does It Build Authority in AI Search?20 Jan 202600:23:59

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Why does digital PR matter more now than it did five years ago? Because modern PR isn’t about press releases or volume—it’s about authority, credibility, and human expertise, which are the exact signals AI systems rely on when deciding what to surface, cite, and recommend in generated answers.

In this episode of Found in AI, Cassie is joined by Kelly Jura, Head of Product and User Experience at QWOTED, to break down what digital PR actually looks like in 2026 and how earned media plays a critical role in AI search visibility.

Rather than treating PR as a one-off tactic, this episode explores how earned media compounds—building trust signals that benefit search, AI answers, and long-term brand visibility.

In this episode, you’ll learn:

  • What “digital PR” really means today—and how it’s changed
  • Why authority, trust, and consistency matter more than backlinks alone
  • How journalists actually decide who to quote (and who to ignore)
  • Whether you need a PR agency—or can do this yourself
  • What makes a source credible enough for earned media mentions
  • Why fully built profiles matter for matching and visibility
  • The biggest mistakes founders and brands make when pitching journalists
  • How AI systems mirror journalistic trust signals
  • Why being quotable is more important than being available
  • How earned media influences AI citations and recommendations
  • Why promoting your mentions matters just as much as earning them
  • How digital PR compounds over time, even when pitches don’t convert immediately

If you’re trying to understand how PR fits into a modern AI visibility strategy—and how to build authority without press releases, spammy outreach, or a massive brand name—this episode offers a clear, practical starting point.

ChatGPT ads explained: I posted a short video breaking down what they change—and what they don’t. Watch here. 

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why Are Discovery and Checkout Moving Inside AI Search?15 Jan 202600:10:11

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Are AI assistants starting to replace websites for discovery and shopping? In many cases, yes. And the shift is already underway.

In this episode of Found in AI, Cassie breaks down two platform moves that reveal where AI-powered search is headed: Apple’s integration of Gemini-powered capabilities into Siri and Apple Intelligence, and Google’s rollout of checkout directly inside AI-driven experiences. Together, these changes show how discovery, evaluation, and purchase are increasingly happening inside AI interfaces instead of on traditional websites.

The episode explains how AI systems like Siri, Gemini, and other generative assistants decide what to surface, which brands to trust, and when users should move from question to purchase, often without a click.

In this episode, you’ll learn:

  • What Apple’s partnership with Google means for Siri and AI-driven discovery
  • Why conversational and spoken AI changes how content must be structured
  • How Google’s AI checkout affects attribution, funnels, and conversion tracking
  • Why discovery, evaluation, and purchase are moving inside AI systems
  • What brands should prioritize to stay visible, trusted, and chosen in AI-driven journeys

If you’re a marketer, content strategist, or founder trying to understand how AI assistants are reshaping search and commerce, this episode breaks down what’s changing—and what to do next.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

If No One Clicks Anymore, What Is a Website For?13 Jan 202600:22:14

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In today’s episode of Found in AI, I sit down with Karl-Gustav Kallasmaa, founder of Attensira, to unpack a question more marketers are quietly running into this year:

If AI is now the primary interface for search, what role does the website actually play?

We explore what Karl calls the death of the webpage. We cover:

  • Why websites are becoming a reference layer, not the primary destination
  • What information AI systems actually need from brands (and what they ignore)
  • Why clarity is starting to matter more than clever branding
  • How writing for machines and humans requires different tradeoffs
  • What “machine-readable” really means for B2B and e-commerce brands
  • Why content volume still matters, but only when it answers real questions
  • How outdated or vague information forces AI systems to guess (and why that’s risky)

If you’re thinking about AI search, GEO, or how your brand shows up when fewer people are clicking through to websites, this episode will help you rethink what your site is for — and what it needs to communicate more explicitly going forward.

📌 Mentioned in this episode:

  • The “death of the webpage” and how its role is evolving
  • Writing content for AI systems without abandoning human trust
  • Clarity vs. branding in AI-driven discovery
  • Content freshness, usefulness, and avoiding low-value “slop”
  • How systems like ChatGPT, Gemini, and Perplexity evaluate information
  • Why clearer signals beat more pages in AI search visibility

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why Is Reddit Replacing TikTok as a Search Tool for Gen Z?08 Jan 202600:07:00

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Why is Reddit overtaking TikTok as a preferred search tool for Gen Z? Because when people are trying to make decisions—not just get inspired—they prioritize context, trust, and lived experience.

In this episode of Found in AI, Cassie breaks down recent reporting from The Guardian showing that Reddit has surpassed TikTok as a search destination for Gen Z users in the UK. While it might look like a social media trend on the surface, the shift reveals something deeper about how search behavior is changing—and why those changes closely mirror how AI search systems evaluate and reuse content.

The episode explains why Reddit’s structure, long-form discussions, and experience-based answers outperform entertainment-driven platforms when users are trying to decide what to do, buy, or believe. Those same characteristics also make Reddit content easier for AI systems to surface and cite in generated answers.

In this episode, you’ll learn:

  • Why Reddit is becoming a default search tool for Gen Z
  • The difference between inspiration-driven discovery and decision-driven search
  • What Reddit’s rise reveals about trust, context, and explainability
  • How AI search systems evaluate and reuse content from community platforms
  • What this shift means for brand visibility beyond traditional SEO

If you’re a marketer, content strategist, or brand leader trying to understand why “good content” doesn’t always translate into AI visibility, this episode connects human behavior, AI systems, and the future of search.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Should You Plan Your Q1 Content Strategy for AI Search in 2026?06 Jan 202600:12:21

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How should teams plan their Q1 content strategy for AI search in 2026? By shifting focus away from publishing volume and toward how AI systems evaluate, connect, and reuse content over time.

In this episode of Found in AI, Cassie breaks down how AI-driven search is changing what “good planning” actually looks like. If your Q1 plan is still centered on publishing blog posts and hoping for rankings, this episode explains why that approach falls short and how to plan with clarity rather than guesswork.

Rather than focusing on tactics, the episode outlines a strategic framework for planning content, social, and authority together, based on how AI systems assemble answers and assess trust.

In this episode, you’ll learn:

  • How AI search systems evaluate and assemble answers differently from traditional search
  • Why separating content and social planning weakens AI visibility
  • How to plan Q1 content using the FSA framework (Freshness, Structure, Authority)
  • Why AI visibility depends on patterns and reinforcement, not one “perfect” post
  • Where SEO still plays a critical role — and where it stops being sufficient
  • Why auditing existing content should come before new ideation
  • How AI share of voice reveals hidden strengths and real gaps

If you’re planning Q1 right now and trying to account for AI-driven search behavior, this episode will help you plan more intentionally without starting from scratch.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing

What Does Google Search Console’s New Beta Reveal About AI Visibility?01 Jan 202600:10:47

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What does Google Search Console’s new beta reveal about AI visibility? That discovery and authority are no longer defined solely by websites—and Google is beginning to measure visibility the way AI systems already do.

In this episode of Found in AI, Cassie breaks down a quiet beta test in Google Search Console that surfaces social channels alongside traditional web metrics. While it may look like a minor reporting update, the change signals a broader shift in how Google defines discovery, influence, and authority in an AI-driven search landscape.

The episode explains why brands can now appear in AI-generated answers without ranking traditionally and why ranking alone is no longer a reliable indicator of visibility. It also connects Google’s evolving measurement approach to how AI answer engines already evaluate content across websites, social platforms, and creators.

In this episode, you’ll learn:

  • What the new Google Search Console beta reveals about how search visibility is evolving
  • Why surfacing social channels in Search Console is more than a feature update
  • How this change aligns Google’s metrics with how AI answer engines work
  • Why brands can appear in AI answers without traditional rankings — and vice versa
  • How AI systems evaluate influence across websites, social platforms, and creators
  • How this update maps directly to the FSA framework (Freshness, Structure, Authority)
  • What marketers should take from this shift as they plan content and visibility strategies for 2026

If you’re trying to understand how AI visibility is being measured—and why traditional SEO metrics no longer tell the full story—this episode breaks down what’s changing and how to respond.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Is AI Search Changing What Actually Works in SEO?30 Dec 202500:32:53

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What SEO still works in AI search, and what no longer does? The answer has less to do with rankings and far more to do with trust, authority, and how brands show up across the web.

In this episode of Found in AI, Cassie sits down with Pat Reinhart of Conductor to unpack why AI-driven search isn’t just changing SEO—it’s exposing which strategies were never built to last in the first place. The conversation breaks down why “ranking in ChatGPT” isn’t a real concept, how large language models evaluate visibility, and why share of voice is becoming more important than traditional keyword positions.

The episode also explores how AI systems assess brand authority through mentions, citations, sentiment, and reputation—and why attempts to game the system are increasingly ineffective.

In this episode, you’ll learn:

  • Why AI search is not simply SEO in disguise and where the fundamentals diverge
  • What SEO practices still support visibility in AI-driven search
  • Why share of voice matters more than rankings in LLM-based systems
  • How brand mentions, citations, and sentiment influence AI visibility
  • Why reputation and consistency outperform manipulation in AI search
  • How to think about ChatGPT, Gemini, and other models without chasing every engine
  • What signals help brands earn trust inside AI-generated answers

If you’re questioning old SEO playbooks, noticing traffic patterns shift, or trying to build a durable strategy for 2026, this episode helps separate what still works from what AI is actively devaluing.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Keywords: AI Search, AI Share of Voice, SEO, AEO, Answer Engine Optimization, Generative Engine Optimization, GEO, Brand Authority, Content Strategy, B2B Marketing, Conductor

Does Domain Authority Still Matter in AI Search? (A 96-Hour Case Study)23 Dec 202500:18:09

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Why isn’t domain authority enough in AI search? Because authority in AI-powered systems is continuously reassessed based on freshness, structure, and how closely content matches user intent in the moment.

In this episode of Found in AI, Cassie walks through a real-world case study where a single content update—optimized specifically for AI search—displaced legacy SEO publishers in under 96 hours across systems like Google Gemini and Perplexity.

The episode breaks down how AI search engines evaluate sources differently from traditional search, why domain authority is no longer a permanent advantage, and how visibility shifts when AI systems identify a clearer, more reusable primary source.

In this episode, you’ll learn:

  • Why domain authority alone is no longer a reliable safety net in AI-generated answers
  • How one content update led to a 96-hour shift in AI Share of Voice
  • What AI Share of Voice (AI SoV) measures and why it behaves differently from keyword rankings
  • How AI search creates a winner-take-most dynamic around a primary source
  • Why legacy publishers weren’t penalized — they were simply outcompeted
  • How the FSA framework (Freshness, Structure, Authority) aligns with how LLMs evaluate content
  • Why SEO still matters, but must be paired with structure AI systems can interpret
  • What this case study signals for Series A, Series B, and enterprise teams heading into 2026

If you’re relying on domain authority as a long-term moat, this episode shows why AI search changes the rules — and what to do about it.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Does Gemini 3 Flash Mean for the Future of AI Search?18 Dec 202500:07:43

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What does Gemini 3 Flash mean for the future of AI search? It signals a shift toward faster answers, deeper trust, and longer in-interface discovery—changing how users interact with Search itself.

In this episode of Found in AI, Cassie breaks down Google’s rollout of Gemini 3 Flash, now powering AI Mode in Search globally. While much of the coverage frames this as a performance upgrade, the episode explains why speed is actually a behavioral change—one that keeps users inside AI-driven search experiences longer and reshapes how decisions are made.

The episode explores how faster, more confident AI answers build trust, enable conversational follow-ups, and reduce the need to click through to websites, raising the stakes for brands that don’t appear inside AI-generated answers.

In this episode, you’ll learn:

  • Why Gemini 3 Flash is more than a performance upgrade
  • How faster AI answers change search behavior and user expectations
  • What Google means by “PhD-level reasoning” and how it builds a trust layer
  • How conversational follow-ups reshape discovery and decision-making
  • Why brands that don’t appear in AI answers risk becoming invisible at critical moments
  • How this update reinforces the FSA framework (Freshness, Structure, Authority)
  • Why marketers should observe AI Mode recommendations before auditing content

If you’re trying to understand how speed, trust, and conversational AI are changing search—and what that means for visibility—this episode breaks down what’s shifting and how to respond.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

 Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why Do Reddit Comments Matter More Than Posts in AI Search?16 Dec 202500:23:22

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Why do Reddit comments matter more than posts in AI search? Because comments contain context, lived experience, clarification, and human validation. And those are the exact signals AI systems rely on when deciding what to reuse in generated answers.

In this episode of Found in AI, Cassie is joined by Danny Kirk, founder of ReddiReach, to break down why Reddit plays such an outsized role in AI search visibility—and why commenting often matters more than posting when it comes to showing up in systems like ChatGPT, Gemini, and Perplexity.

The conversation unpacks how AI engines pull from Reddit threads versus individual comments, why citations from Reddit have shifted recently, and how human interaction signals influence what AI systems trust and surface. Rather than treating Reddit as a risky or opaque channel, the episode explains how to approach it strategically—without spamming, over-posting, or burning credibility.

In this episode, you’ll learn:

  • Why Reddit remains one of the largest sources of training data for large language models
  • What the recent drop in Reddit citations actually means (and what it doesn’t)
  • How AI engines pull from Reddit threads compared to individual comments
  • Why human interaction matters more than upvotes or karma alone
  • The difference between posting and commenting for AI search visibility
  • How brands can reverse-engineer Reddit signals using Google and AI tools
  • Tools that help teams avoid Reddit rabbit holes and stay focused
  • What the first 30 days of a realistic Reddit strategy look like
  • Why Reddit is a long-tail visibility play, similar to SEO 
  • How a single helpful Reddit comment can influence AI answers, even for brands with little or no online presence
  • Why AI systems consistently favor content with a real, identifiable human behind it

If you’re trying to understand where Reddit fits into a modern AI visibility strategy—and how to use it without turning into “that brand” on Reddit—this episode offers a grounded, practical starting point.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Keywords:
Reddit Marketing, AI Search, Generative Search, AEO, GEO, AI Visibility, Reddit SEO, LLM Training Data, AI Citations, Content Strategy, Entity Authority, Reddit Comments, AI Optimization, Search Trends, Digital Visibility

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Can You Rank #1 in ChatGPT?17 Feb 202600:26:23

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In this episode of Found in AI, Cassie is joined by Kristina Frunze, founder of WebviewSEO, an SEO and AI search optimization agency for B2B SaaS. Together, they unpack what AI visibility really looks like in practice—and why share of voice, intent alignment, and brand consistency matter far more than screenshots of a single AI answer.

Rather than chasing the illusion of ranking, this episode reframes GEO around measurable influence, bottom-of-funnel visibility, and the structural signals AI systems use to interpret and recommend brands.

In this episode, you’ll learn:

  • Why “ranking” is the wrong mental model for LLM visibility
  • How AI answers vary, even when prompts stay the same
  • What AI Share of Voice actually measures (and why it matters)
  • Why tracking 150 prompts is usually unnecessary—and what to track instead
  • How bottom-of-funnel prompts drive more meaningful visibility than top-of-funnel queries
  • Whether long-form content still works in AI search (and when shorter answers perform better)
  • How to build objective, methodology-driven listicles that AI systems trust
  • Why brand consistency across LinkedIn, directories, and owned assets impacts LLM understanding
  • How messaging ambiguity weakens AI confidence signals
  • What brands can do today to improve frequency of mention in AI-generated answers

If you’re trying to separate hype from strategy in the GEO conversation—and build real, defensible AI visibility—this episode will recalibrate your approach.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slotsto help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why Is Google Testing AI Mode in Search?11 Dec 202500:13:41

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What does Google’s AI Mode rollout signal for the future of search? That AI-generated answers are moving from an experiment to a default layer of the search experience, fundamentally changing how discovery and visibility work.

This episode of Found in AI marks the launch of a new weekly Thursday segment covering major developments in AI search and what they mean for content strategy, visibility, and discovery.

Cassie Clark is joined by AI researcher Adam Whistler, one of the first people to identify and analyze Google’s rollout of AI Mode inside traditional Search. With no announcement, documentation, or public roadmap, the experiment signals one of the most significant shifts in search behavior since the early 2000s.

The conversation breaks down how AI results are being layered into Google’s default experience, what this means for organic visibility, and why brands and creators need to start preparing now—before AI Mode becomes mainstream.

In this episode, you’ll learn:

  • What Google’s AI Mode rollout reveals about the direction of Search
  • Why Google is testing AI results quietly, without formal announcements
  • How AI-generated answers are being layered into traditional search experiences
  • What this shift means for organic visibility and discovery
  • How AI Mode could reshape the user journey from question to decision
  • Why preparation matters before AI Mode becomes the default

If AI Mode moves into mainstream Search, discovery will no longer begin with links—and this episode explains what that shift means and how to prepare.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Do AI Engines Decide What to Cite? The FSA Framework Explained08 Dec 202500:20:13

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How do AI engines decide what to cite? They prioritize content that demonstrates freshness, structure, and authority—not just traditional SEO signals or domain authority.

In this episode of Found in AI, Cassie breaks down the FSA Framework (Freshness, Structure, Authority), a practical model for understanding why AI systems like ChatGPT, Gemini, and Perplexity consistently cite some brands while completely ignoring others, even when those brands have high domain authority.

The episode explains why traditional SEO alone is no longer sufficient for AI visibility, how AI engines evaluate entities instead of pages, and why small or lesser-known sites can outperform industry giants when their content is easier for AI systems to extract and reuse.

In this episode, you’ll learn:

  • Why AI search has overtaken traditional search behavior
  • How Google’s shift toward AI Mode changes content discovery
  • The three factors AI engines rely on to select sources
  • What freshness signals actually look like to a large language model
  • How to structure content so AI systems can extract and reuse it
  • Why authority in AI search means entity strength, not domain authority
  • How Cassie used the FSA framework to start appearing in AI-generated answers
  • A simple diagnostic test to understand why you’re not being cited
  • A 30-day plan to improve AI visibility—even with a small site

If you’re trying to stay visible as generative search rewrites how people discover information, this episode provides a clear, actionable starting point.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, FSA Framework, Generative Search, AEO, GEO, AI Visibility, Structured Content, Content Strategy, Entity Authority, SEO Strategy, Search Trends, Digital Visibility, LLM Citations, Freshness Signals, Content Optimization

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why Does Reddit Dominate AI Overviews and AI Search Results?02 Dec 202500:25:31

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Why has Reddit become a power player in AI search? Because its structure, user-generated discussions, and lived-experience answers align closely with how AI systems evaluate trust, context, and relevance.

In this episode of Found in AI, Cassie is joined by SEO strategist Beth Chernes to break down why Reddit now appears so frequently in AI-powered search experiences—including Google’s AI Overviews—and what that means for founders and marketers trying to stay visible.

The conversation explores how the Google–Reddit partnership is reshaping discovery, how Reddit data is used to train large language models, and why transparency and participation matter more than promotional tactics on user-generated platforms.

In this episode, you’ll learn:

  • Why Reddit is dominating Google’s AI Overviews right now
  • How Reddit data is training large language models — and what that means for brands
  • The right and wrong ways to participate in subreddits
  • How to use Reddit for social listening and pain-point research
  • Why transparency matters more than ever on community-driven platforms
  • How to think about ROI from Reddit without spamming or self-promotion
  • One small Reddit experiment anyone can run this week

If you’re trying to understand why Reddit shows up so often in AI-generated answers and how to use the platform without getting banned, downvoted, or ignored, this episode offers a practical, realistic starting point.

Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, Reddit Marketing, Google–Reddit Partnership, Generative Search, AEO, GEO, AI Visibility, User-Generated Content, SEO Strategy, Subreddit Research, Social Listening, B2B Marketing, Search Trends, Digital Visibility

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/


How Do You Future-Proof SEO in an AI-First Search World?18 Nov 202500:27:47

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How do you future-proof SEO in an AI-first search world? By shifting focus from rankings and volume to clarity, structure, and visibility signals that AI systems can interpret and trust.

In this episode of Found in AI, Cassie is joined by Kristina Frunze of WebView SEO to break down what SEO actually looks like now that AI engines are reshaping how people discover information. The conversation separates the tactics that still matter from those AI is actively devaluing—and outlines what marketers should prioritize moving forward.

Rather than chasing every platform or update, the episode focuses on durable principles: writing for humans while structuring for machines, understanding how Google is redefining spam, and measuring visibility in a world where zero-click experiences are becoming the norm.

In this episode, you’ll learn:

  • Why “write for humans, structure for machines” is the new SEO rule
  • How Google is redefining spam — and what that means for content quality
  • When to prioritize structured data, citations, and brand mentions
  • Where Reddit fits into an AI-driven SEO strategy (and where it doesn’t)
  • How to measure visibility when clicks and rankings matter less
  • What metrics replace rankings as the primary signal heading into 2026

If you’re trying to keep your brand visible as SEO and AI blur together, this episode provides a grounded, no-nonsense roadmap for what comes next.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, SEO Strategy, Generative Search, AEO, GEO, AI Visibility, Structured Data, Content Strategy, Zero-Click Search, Google AI, Schema Markup, B2B Marketing, Search Trends, Digital Visibility

Find the transcript here.

How Can Smaller Sites Get Cited in ChatGPT?11 Nov 202500:12:24

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How did a small blog get cited in ChatGPT ahead of major SEO platforms? By prioritizing clarity, structure, and intent alignment—not backlinks or domain authority.

In this episode of Found in AI, Cassie walks through a real-world case study where her blog, cassieclarkmarketing.com, was cited in ChatGPT ahead of established SEO brands like Semrush. The episode breaks down exactly what was tested, why it worked, and what this signals about how AI search systems choose sources.

Rather than focusing on traditional ranking factors, the conversation explains how AI engines evaluate content for reuse—and why smaller teams have a significant opportunity to earn visibility in AI-generated answers.

In this episode, you’ll learn:

  • How content can earn AI citations without massive domain authority
  • Why clarity, context, and authenticity matter more than backlinks in AI search
  • The difference between SEO optimization and Generative Engine Optimization (GEO)
  • How to structure content for both humans and AI systems
  • Why smaller teams are well-positioned in the AI visibility race
  • What this case study reveals about how AI search is evolving

If you’re trying to understand how to get your brand cited in ChatGPT, Perplexity, or Google’s AI Overviews, this episode breaks down what’s actually working right now—based on real results.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Citations, ChatGPT Mentions, Generative Engine Optimization, GEO, AI Search, Answer Engine Optimization, AEO, AI Visibility, Content Strategy, AI Content Marketing, AI Search Optimization, ChatGPT SEO, Perplexity Search, Schema Markup, Topical Authority, AI-Driven Content, B2B Marketing, Digital Visibility, SEO vs AEO, AI Overviews, Generative Search

Find the transcript here

How Do You Build an AEO Strategy That Keeps Your Brand Visible in AI Search?04 Nov 202500:26:40

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How do you build an AEO strategy that keeps your brand visible in AI search? By optimizing for how AI systems generate answers—not just how traditional search engines rank pages.

In this episode of Found in AI, Cassie sits down with Lindsay Boyajian-Hagan, VP of Marketing at Conductor, to break down how Answer Engine Optimization (AEO) differs from traditional SEO and why it’s becoming essential as AI-generated answers reshape discovery.

The conversation explores what actually determines visibility in systems like ChatGPT, Perplexity, and Google Gemini—including content depth, topical authority, schema markup, and structural clarity. Rather than chasing algorithm updates, the episode focuses on building audience-driven content systems that AI engines can understand, trust, and reuse.

In this episode, you’ll learn:

  • What AEO is and how it differs from SEO in AI-generated search
  • Why content depth and topical authority influence AI citations
  • How schema markup and author signals affect AI visibility
  • How to map personas as prompts instead of slide decks
  • The role of structure and data-driven content in AI search
  • Practical steps to audit, prune, and rebuild content for AI visibility

If you’ve noticed traffic patterns change or you’re trying to keep your brand visible as search behavior evolves, this episode helps you recalibrate your strategy for the next era of AI-driven discovery.

💬 Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AEO, Answer Engine Optimization, AI Search, Topical Authority, Schema, SEO, Conductor, AI-Driven Marketing, Generative Engine Optimization, GEO, Content Strategy, B2B Marketing

Find the transcript and show notes here.

What Is a Content Engineer?28 Oct 202500:23:46

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What is a content engineer—and why does the role matter for AI search? A content engineer designs systems that keep content fresh, structured, and continuously up to date, making it easier for AI engines to understand, reuse, and surface over time.

In this episode of Found in AI, Cassie sits down with Josh Spilker, Head of Content and SEO at AirOps, to unpack how the rise of the content engineer is reshaping how modern teams build, scale, and optimize content in an AI-driven search environment.

The conversation explores how AI workflows are changing large-scale content operations, why systemized updates now matter more than one-off publishing, and how roles are evolving as visibility shifts toward engines like ChatGPT, Perplexity, and Google’s AI Mode.

In this episode, you’ll learn:

  • What the content engineer role actually is and why it’s becoming essential
  • How AI workflows are changing linking, updates, and content maintenance
  • Why freshness and structure now drive visibility in AI search
  • The skills and tech stack content engineers rely on, from no-code tools to automation
  • How treating content like a product helps teams scale and stay visible
  • What content leaders should prioritize to future-proof their teams for LLM-driven search

If you’re trying to understand how content roles are evolving—and what skills will matter most as AI reshapes search—this episode provides a clear, practical breakdown of what’s changing and why.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com
Newsletter → Get the insights

Keywords: Content Engineer, AI Search, AI Workflows, SEO, Content Operations, AirOps, Generative Engine Optimization, GEO, AEO, AI-Driven Marketing, Content Strategy, B2B Marketing

How Do Brands Show Up in AI Search Results?21 Oct 202500:25:17

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How does AI search actually work—and how do brands show up? AI engines surface brand mentions based on relevance, context, structure, and reuse potential, not traditional rankings or blue-link SEO alone.

In this episode of Found in AI, Cassie sits down with Charlie Graham, founder and CEO of RivalSee, to unpack how AI visibility optimization (AIVO) is reshaping how brands appear inside ChatGPT, Perplexity, and Google’s AI Mode.

The conversation breaks down how AI systems source and evaluate content, why mentions often matter more than links, and how long-tail, bottom-of-funnel content increasingly outperforms top-of-funnel assets in AI-driven search experiences.

Rather than requiring a full SEO overhaul, the episode outlines practical ways teams can experiment with AI visibility—using structure, schema, and intent alignment to influence what gets surfaced in AI-generated answers.

In this episode, you’ll learn:

  • How AI engines source, evaluate, and surface brand mentions
  • Why long-tail, bottom-of-funnel content performs better in AI search
  • How structured data, static content, and schema impact AI visibility
  • The difference between being linked and being mentioned — and why it matters
  • Practical ways small teams can test AI visibility optimization
  • What AIVO signals reveal about how AI search is evolving

If you’re trying to adapt your content strategy for the next era of search — and want your brand to actually appear in AI answers — this episode explains how AI search works and what to focus on first.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AIVO, AI Visibility Optimization, AI Search, SEO, Long-Tail Keywords, Structured Data, Generative Engine Optimization, AEO, GEO, Brand Mentions, Content Strategy, B2B Marketing

Find the show notes and transcript here.

Do Backlinks Still Matter in AI Search?14 Oct 202500:21:02

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Are backlinks still important in AI search—or do brand mentions matter more? The answer is that both influence AI visibility, but they matter in different ways depending on context, intent, and how trust is established across the web.

In this episode of Found in AI, Cassie sits down with Nathaniel Miller, Head of Marketing at Ashbrook Technologies and founder of his own growth agency, to unpack how off-page signals are evolving as AI-driven search reshapes visibility.

The conversation breaks down when backlinks still play a role, why brand mentions are increasingly influential in AI-generated answers, and how digital PR, social presence, and relationship-building now shape authority beyond traditional link-building tactics.

In this episode, you’ll learn:

  • How backlinks and brand mentions each influence AI search visibility
  • When backlinks still matter—and when mentions carry more weight
  • How digital PR and social presence shape off-page SEO in the AI era
  • What the decline of Reddit signals about community-based authority
  • How to approach AEO and GEO without abandoning SEO fundamentals
  • Tools and tactics for earning durable visibility, including Qwoted and intentional outreach

If you’re rethinking your link-building or PR strategy for AI-driven search—and want visibility that actually lasts—this episode clarifies what still works, what’s changing, and where to focus next.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: Brand Mentions, Backlinks, Digital PR, AI Search, Generative Engine Optimization, AEO, GEO, Off-Page SEO, Authority Signals, Content Strategy, B2B Marketing

Find the show notes and transcript here.

Why Does Bottom-of-Funnel Content Win in AI Search?07 Oct 202500:20:53

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Why does bottom-of-funnel content win in AI search? Because AI engines prioritize clarity, specificity, and decision-ready information, not generic awareness content.

In this episode of Found in AI, Cassie sits down with B2B SaaS content strategist Usama Khan to unpack how middle- and bottom-of-funnel content is driving the majority of AI search visibility, and why real customer insight matters more than ever in an AI-first search world.

The conversation explores which content formats consistently surface in ChatGPT, Perplexity, and Google’s AI experiences, how sales conversations can inform higher-converting content, and why vague messaging confuses both readers and large language models.

In this episode, you’ll learn:

  • Why middle- and bottom-of-funnel content dominates AI search visibility
  • The three BOFU formats every startup should prioritize: category, comparison, and jobs-to-be-done pages
  • How to use sales calls and product demos to write content that converts
  • Why generic messaging hurts both human trust and AI comprehension
  • How authority signals like Reddit mentions and G2 reviews influence AI visibility
  • How to make bottom-of-funnel content work harder in an AI-first search environment

If you’re trying to adapt your content strategy for AI-driven search—and want content that actually converts instead of just ranking—this episode breaks down what works and why.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist

Website → cassieclarkmarketing.com

Keywords: Bottom-of-Funnel Content, AI Search, B2B SaaS Marketing, Comparison Pages, SEO for AI, Generative Engine Optimization, Content Strategy, Thought Leadership, Jobs to Be Done, Authority Signals

Find the show notes and transcript here.

What Do Bing’s AI Performance and ChatGPT Ads Mean for Search?12 Feb 202600:13:43

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In this episode of Found in AI, Cassie breaks down Bing’s new AI Performance dashboard inside Bing Webmaster Tools and OpenAI’s rollout of ads in ChatGPT — and explains why this week marks a maturity moment for AI search.

Cassie walks through what Bing’s citation metrics actually measure, how grounding queries differ from traditional Google Search Console data, and why these insights should be used to validate entity authority, not just track keywords. She also unpacks what ChatGPT’s new ad layer signals about monetization, visibility, and the emerging “AI SERP” environment.

Using the Freshness, Structure, Authority (FSA) framework, Cassie explains how brands should approach measurable AI visibility and what changes are now required as AI interfaces include both organic citations and sponsored placements.

In this episode, you’ll learn:

  • What Bing’s AI Performance dashboard actually measures (and what it doesn’t)
  • How grounding queries differ from Google Search Console query data
  • Why you should use Bing to validate entity authority and GSC to guide keyword targeting
  • How Freshness, Structure, and Authority show up in Bing’s recommendations
  • What ChatGPT’s ad rollout means for organic AI visibility
  • Why AI engines are starting to resemble conversational SERPs
  • How brands should think about organic and paid visibility in AI interfaces

If you’re a marketer, founder, or content strategist trying to understand how AI visibility is evolving — and what measurement plus monetization means for your strategy — this episode will help you connect the dots between tooling, infrastructure, and opportunity.

Let's connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Does FAQ Schema Help Content Get Cited in AI Search?30 Sep 202500:20:54

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Why is FAQ schema so powerful for AI search visibility? Because it gives AI engines clear, structured answers they can confidently extract, reuse, and cite.

In this episode of Found in AI, Cassie sits down with Romana Kuts, founder of SaaStorm, to unpack how structured data and schema markup have become some of the simplest—and most overlooked—levers for AI visibility.

The conversation breaks down why short, direct FAQ schema is such a strong signal for large language models, how author schema helps establish trust and credibility, and how schema designed for traditional SEO differs from what AI crawlers actually use.

In this episode, you’ll learn:

  • Why FAQ schema is one of the strongest signals for AI engines
  • How author schema proves content was written by a real human
  • The difference between SEO-focused schema and AI-readable schema
  • Whether llms.txt actually matters — and what real tests revealed
  • How to implement schema without turning your site into an FAQ dump
  • How structured data supports citations in GPT and other LLMs

If you’re adapting your SEO playbook for an AI-first search world—and want to focus on signals that actually help you get cited—this episode explains where schema fits and how to use it effectively.

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: Structured Data, FAQ Schema, Author Schema, AI Search Visibility, LLM Optimization, Generative Engine Optimization, B2B SaaS Marketing, AI Citations, Schema Markup, Digital Marketing

Find the show notes and transcript here.

How Should You Measure GEO Success in AI Search?23 Sep 202500:26:46

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How should you measure GEO success in AI search? By focusing less on raw traffic and more on visibility, citations, sentiment, and bottom-of-funnel influence across AI-generated answers.

In this episode of Found in AI, Cassie sits down with Kristina Frunze of WebView SEO to break down the metrics that actually matter for Generative Engine Optimization (GEO)—and why many teams are measuring the wrong things.

The conversation explains why AI-driven traffic still represents a small percentage of overall visits, why that doesn’t mean GEO “isn’t working,” and how AI share of voice and brand mentions provide far more meaningful competitive insight.

In this episode, you’ll learn:

  • Why AI traffic is still a small percentage of total traffic, and why it converts similarly to organic
  • The difference between AI traffic and AI share of voice
  • Why AI citations function more like modern backlinks
  • Which bottom-of-funnel content types drive AI-sourced leads
  • How brand mentions and sentiment influence how LLMs describe your brand
  • What metrics actually belong in GEO reporting for 2026

If you’re trying to measure success in AI search—and want reporting that reflects how visibility really works—this episode provides a clear framework for what to track and why.

Find the free AI visibility tracker here.

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: GEO Metrics, AI Search, Generative Engine Optimization, WebView SEO, AI Traffic, AI Citations, Share of Voice, AI Leads, AI Sentiment, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here. 

How Can Startups Use Digital PR to Get Cited in AI Search?16 Sep 202500:20:36

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How can startups use digital PR to get cited in AI search? By earning trusted mentions from authoritative sources that AI systems already recognize and reuse when generating answers.

In this episode of Found in AI, Cassie is joined by Chris Panteli, co-founder of Linkifi, to unpack how digital PR supports visibility not just in traditional media, but inside AI-powered search experiences.

The conversation breaks down why digital PR differs from old-school link-building, how AI engines evaluate brand mentions even without backlinks, and what startups can do to become “PR-ready” before pitching journalists.

Rather than chasing vanity coverage, the episode focuses on building authority signals that AI systems trust—and that compound over time.

In this episode, you’ll learn:

  • Why digital PR is different from traditional link-building
  • How AI search engines evaluate brand mentions and citations
  • Why trusted media mentions matter even without backlinks
  • The biggest mistakes founders make when DIY-ing PR
  • How startups can prepare for PR, from About pages to positioning
  • How to use journalist request platforms like HARO and Qwoted effectively

If you’re an early-stage founder or marketer trying to build authority and get discovered in AI search, this episode offers practical, realistic ways to use digital PR as a visibility lever—without relying on outdated tactics.

Keywords: PR Strategy, Digital PR, AI Search, Link Building, Brand Mentions, GEO, AEO, Answer Engine Optimization, Startup Visibility, Thought Leadership, HARO, Qwoted, Journalist Requests, Reputation Building, SEO and PR, Small Business Marketing, AI Content Discovery, Digital Reputation, Marketing Authority

Find the show notes and transcript here.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

How Can You Make Your Content Show Up in AI Search Results?08 Sep 202500:12:12

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How can you make your content show up in AI search results? By prioritizing unique insights, clear structure, and intent-driven formatting that AI engines can confidently extract and reuse.

In this episode of Found in AI, Cassie sits down with Alex, co-founder of SEOforge, to break down what’s actually working in AI search today—and where traditional SEO assumptions no longer apply.

The conversation explores how AI engines like ChatGPT evaluate content differently than Google, why proprietary insights matter more than keyword targeting, and how content structure plays a critical role in whether brands get cited in AI-generated answers.

Rather than relying on theory, the episode focuses on practical steps teams can take right now to improve AI visibility without rebuilding their entire content strategy.

In this episode, you’ll learn:

  • How to track and attribute high-intent traffic from ChatGPT
  • Why unique insights outperform generic keyword-focused content in AI search
  • Key differences between what ranks on Google vs. what surfaces in AI answers
  • How to structure Help Centers using one-question-per-article formats
  • Why hosting FAQs on your main domain—not a subdomain—improves visibility and conversions
  • What llms.txt actually does and how AI crawlers behave

If you’re trying to build content that gets cited in AI search—and want a clear place to start—this episode breaks down what’s working right now and why.

💬 Let’s connect:
LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AI Search, ChatGPT Traffic, SEOforge, AEO, Answer Engine Optimization, Help Center SEO, FAQ Schema, Unique Insights, AI Content Optimization, Startup Marketing, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here.

What’s the Difference Between SEO, AEO, and GEO in AI Search?25 Aug 202500:19:19

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How do SEO, AEO, and GEO actually work together in AI search? SEO builds the foundation, AEO shapes how answers are extracted, and GEO reinforces visibility across generative systems by aligning content with how AI assembles responses.

In this episode of Found in AI, Cassie sits down with Ioana Wilkinson, B2B content writer and founder of Innovatech Content, to unpack how these three disciplines fit together in today’s AI-driven search landscape—and why treating them as separate strategies limits visibility.

The conversation explores how micro-intent queries influence AI citations, why authority signals matter more than ever, and how small, strategic updates can change whether AI systems surface your brand at all.

In this episode, you’ll learn:

  • What Answer Engine Optimization (AEO) actually means in practice
  • How SEO, AEO, and GEO each contribute to AI visibility
  • Why micro-intent queries are key to getting cited in AI answers
  • How GEO builds on SEO and AEO to improve AI clarity
  • Why authority sources like bios and trusted platforms matter
  • A real experiment updating a HubSpot bio to test AI visibility impact
  • How schema and structure support AI content reuse

If you’re trying to prepare your brand for AI search—and want to focus on what actually moves the needle—this episode brings clarity to how these strategies work together and where to start.

💬 Let’s connect:

Keywords: AEO, Answer Engine Optimization, AI Search, Generative Engine Optimization, SEO, Content Strategy, AI Marketing, Perplexity, Bing Copilot, ChatGPT SEO, FAQ Schema, AI Content Optimization, Startup Marketing, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here.

Is SEO Still Worth It in an AI-Driven Search Era?18 Aug 202500:15:50

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Is SEO still worth the effort? SEO isn’t disappearing, but the way it drives visibility, traffic, and conversions is changing fast.

In this episode of Found in AI, Cassie sits down with Kristina Frunze, founder of WebView SEO, to unpack why “SEO is dead” keeps circulating on Reddit and LinkedIn—and why most of those claims miss what’s actually happening inside AI-driven search experiences.

The conversation explores how AI overviews and conversational search are reshaping click behavior, why fewer clicks don’t necessarily mean worse outcomes, and what startups should prioritize now to stay visible as discovery shifts toward AI interfaces like ChatGPT, Copilot, and Google’s AI experiences.

In this episode, you’ll learn:

  • Why “SEO is dead” headlines persist, and why they’re mostly clickbait
  • How AI search changes traffic patterns and lead quality
  • What SEO still does well, and where it stops being sufficient
  • How AEO and AI visibility complement traditional SEO
  • What startups should focus on to stay visible in 2025 and beyond
  • An upcoming experiment comparing a traditional SEO post vs. an AI-optimized one
  • How schema and structure influence AI-generated answers

If you’re trying to make sense of SEO’s role in a world dominated by AI search, this episode offers a clear, grounded perspective on what’s changing—and what still works

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AEO, Answer Engine Optimization, AI Search, Generative Engine Optimization, SEO, Content Strategy, AI Marketing, Perplexity, Bing Copilot, ChatGPT SEO, FAQ Schema, AI Content Optimization, Startup Marketing, B2B Content Marketing, Digital Marketing Trends

Find the show notes and transcript here.


Should You Skip SEO and Go Straight to AEO for AI Search?11 Aug 202500:10:25

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Should you skip SEO and go straight to AEO for AI search? No, but understanding AEO early helps you learn SEO the right way for how search actually works today.

In this first episode of Found in AI, Cassie tackles a question pulled directly from r/marketing:“I just started learning SEO. Should I even bother, or skip straight to AEO?”

The episode breaks down what Answer Engine Optimization (AEO) actually is, why it matters in 2025, and how it complements—rather than replaces—traditional SEO. Using a simple, low-risk experiment, Cassie shows how small structural changes can make content easier for AI systems to understand, reuse, and cite.

In this episode, you’ll learn:

  • What AEO is and how it differs from traditional SEO
  • How AI tools like ChatGPT, Perplexity, and Copilot decide what to cite
  • Why learning SEO fundamentals still matters in an AI-first world
  • Three simple steps to make your content AI-ready this week
  • A micro-experiment adding an FAQ block to a blog post
  • How to track whether your content appears in AI answers

If you’re new to SEO or trying to understand how AI search changes the rules, this episode gives you a clear, practical starting point—without overwhelming tactics or hype.

💬 Let’s connect:
 LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

Keywords: AEO, Answer Engine Optimization, AI Search, Generative Engine Optimization, SEO, Content Strategy, AI Marketing, Perplexity, Bing Copilot, ChatGPT SEO, FAQ Schema, AI Content Optimization

Find the show notes and transcript here.

What is an AI Visibility Audit? (And Do You Need One?)10 Feb 202600:15:41

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What is an AI visibility audit?

In this episode of Found in AI, Cassie breaks down what an AI visibility audit actually is, why so many brands are suddenly asking for one, and how AI engines decide which brands to recommend in their answers.

Rather than focusing on rankings or traditional SEO metrics, Cassie explains how AI-driven discovery works differently — and why most brands don’t have a visibility problem, but a diagnosis problem. Using her Freshness, Structure, and Authority (FSA) framework, she walks through what AI systems look for, where brands tend to fall short, and how audits help teams understand what’s really blocking their visibility.

In this episode, you’ll learn:

  • What an AI visibility audit is (and what it is not)
  •  Why AI visibility isn’t about rankings, keywords, or dashboards
  •  How AI engines interpret who your brand is for and when to recommend it
  •  Why many visibility issues are actually authority or clarity issues
  •  How the Freshness, Structure, and Authority framework applies to AI search
  •  What signals matter most across websites, social channels, and third-party mentions
  •  What success looks like after an AI visibility audit
  •  How audits help teams focus, align, and build visibility intentionally over time

If you’re a marketer, founder, or content leader trying to understand why competitors are showing up in AI answers — and how to diagnose what’s holding your brand back — this episode will help you rethink visibility before jumping into tactics.

Resources:

Baseline Audit for AI Search Visibility

AI Visibility Audit Case Study: Why Alai Wasn't Showing Up in AI Answers

Let's connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Does Microsoft’s AEO/GEO Guide Mean for Ecommerce?05 Feb 202600:08:03

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What does Microsoft's AEO/GEO Guide mean for ecommerce? 

In this episode of Found in AI, Cassie walks through what Microsoft actually recommends for optimizing ecommerce sites for AI engines like Copilot, why structured and consistent product data matters, and how AI systems interpret pricing, availability, and trust signals.

Using Microsoft’s guidance alongside the Freshness, Structure, Authority (FSA) framework, Cassie explains what ecommerce teams should focus on now — and why page-level SEO alone is no longer enough.

In this episode, you’ll learn:

  • What Microsoft’s AEO/GEO guide reveals about AI-driven ecommerce discovery
  • Why AI optimization is about clarity and consistency, not rankings
  • The schema types Microsoft recommends for ecommerce brands
  • Which product data fields AI systems rely on most
  • How the FSA framework applies to AEO and GEO strategies
  • What ecommerce teams should audit first to improve AI visibility

If you’re an ecommerce marketer or founder trying to understand how AI engines actually interpret your site — and how to ensure your brand is represented accurately in AI-generated answers — this episode will help you rethink what optimization really means.

Resources:

Microsoft: From Discovery to Influence: A Guide to AEO and GEO

Let's connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Should Brands Measure Visibility in AI Search?03 Feb 202600:14:39

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Do AI search rankings actually matter?

In this episode of Found in AI, Cassie breaks down new research from Rand Fishkin and SparkToro that challenges one of the biggest assumptions marketers are making about AI-powered search: that rankings still matter.

She walks through what the data actually shows about how AI engines like ChatGPT and Google AI generate brand recommendations, why rankings are wildly unstable, and why visibility — not position — is the metric brands should be paying attention to instead.

Using both Rand’s research and her own Search Engine Journal displacement case study, Cassie explains how smaller brands can compete with legacy publishers in AI-generated answers by optimizing for visibility, probability, and share of voice.

In this episode, you’ll learn:

  • Why AI search engines don’t produce stable rankings — and never will
  • What Rand Fishkin’s research reveals about how brands appear in AI answers
  • The difference between visibility frequency and AI Share of Voice
  • How to correctly calculate AI Share of Voice (and what it actually tells you)
  • Why rankings have nothing to do with appearing in AI-generated recommendations
  • How a GEO strategy helped a smaller brand displace Search Engine Journal in AI answers
  • Why AI search rewards consistency and pattern recognition over domain size
  • What marketers should understand before spending money on AI visibility tools

If you’re a marketer, content strategist, or founder trying to understand how AI-powered search really works — and how to increase your chances of being included in AI answers without chasing meaningless rankings — this episode will help you rethink what visibility actually means in the age of AI.

Resources:

SparkToro's latest research

Case Study: The Displacement of Legacy Authority: A 125-Hour AI Share of Voice Case Study

Let's connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).
Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/


Can You Opt Out of AI Search Without Losing Visibility?29 Jan 202600:10:19

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Can you opt out of AI search without losing visibility?

In this episode of Found in AI, Cassie breaks down two recent Google updates that quietly confirm where search is headed — and why publishers and brands now face a real tradeoff between control and visibility.

She unpacks what Google actually means when it says sites may be able to opt out of generative search features, how Google-Extended fits into the picture, and why opting out of AI-powered experiences isn’t a neutral decision if discovery and demand matter to your business.

In this episode, you’ll learn:

  • What Google is really signaling about the future of AI Overviews and generative search
  • How Google-Extended works — and what it does and doesn’t affect
  • Why opting out of generative search can reduce visibility, even if rankings stay intact
  • How conversational follow-ups are reshaping the old SEO mental model
  • Why being useful across a conversation now matters more than ranking for a single query
  • What brands should consider before deciding whether to opt out — or lean in

If you’re a marketer, content strategist, or founder trying to understand how AI-powered search impacts visibility, authority, and discovery — and whether opting out is worth the risk — this episode will help you think through the tradeoffs clearly and strategically.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for February 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Does Entity Authority Actually Look Like in AI Search?27 Jan 202600:14:12

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How do AI search engines decide who to trust?

In this episode of Found in AI, Cassie breaks down what entity authority actually means in the context of AI search, and why strong SEO alone is no longer enough to show up in AI-generated answers. She explains how AI engines like ChatGPT, Gemini, and Perplexity build confidence in brands, creators, and concepts — and why so much of that trust is formed off your website.

In this episode, you’ll learn:

  • What entity authority is and how AI engines use it to assemble answers
  •  Why AI search prioritizes recognizable sources over perfectly optimized pages
  •  How YouTube explanations can influence AI visibility even when blog posts don’t rank
  •  Why Reddit provides critical conversational context for AI systems
  •  How LinkedIn posts can surface in AI Overviews — even without long-form articles
  •  Why consistency across platforms matters more than publishing volume

If you’re a marketer, content strategist, or founder trying to understand why your content isn’t showing up in AI answers — and what to do about it — this episode breaks down how entity authority really works.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Do ChatGPT Ads Actually Change for Brands?22 Jan 202600:10:31

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ChatGPT ads are officially here, but what do they actually change?

In this episode of Found in AI, Cassie breaks down what we know so far about the OpenAI announcement, including who sees ChatGPT ads, who can opt out, and where ads appear in relation to AI-generated answers. She explains why ads sit around the reasoning layer—not inside it—and why that distinction matters for brands.

In this episode, you’ll learn:

  • What ChatGPT ads are, and what they don’t change about how answers are generated
  • Who currently sees ads and how opt-out works
  • Why ads create adjacency, not authority
  • The difference between renting attention and earning influence in AI search
  • How brands should think about AI visibility before spending on ads

Cassie also shares why understanding your AI visibility baseline is critical right now—and how brands can become sources AI models already trust and reuse.

If you’re a marketer, content strategist, or founder trying to understand what ChatGPT ads really mean for AI search visibility, this episode breaks down what’s changing.

Let’s connect:

LinkedIn → Cassie Clark | Content Strategist
Website → cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening 3 specialized audit slots for January 2026 to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Is Google About to Replace Your Landing Page?05 Mar 202600:12:45

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In this episode of Found in AI, Cassie breaks down three major AI search stories from the week—including a Google patent that has the SEO community rattled, Perplexity's most ambitious product launch yet, and a long-awaited tone fix from OpenAI.

The headline: Google filed a patent describing a system that could generate AI-built landing pages tailored to a user's query, potentially replacing the need to click through to your website at all. It's not live, but it's a signal. Cassie explains why content specificity and structure matter more than ever, and how the FSA Framework applies directly.

In this episode, you'll learn:

  • What Google's AI-generated landing pages patent actually describes and what it signals about the future of search
  • Why brands with vague, generic landing pages are most at risk, and what to do about it
  • How content specificity and the FSA Framework protect your visibility, whether this patent ships or not
  • What Perplexity Computer is, how it orchestrates 19 AI models into a single workflow system, and why it matters for marketers
  • Why Perplexity dropping ads while ChatGPT adds them tells you something about the evolving AI search landscape
  • What OpenAI changed in GPT-5.3 Instant to fix the overly therapeutic tone that drove users away from ChatGPT
  • Why staying current on how AI models shift in personality—not just capability—matters for your content strategy

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Is Entity Authority and Why Does It Matter More Than Domain Authority?03 Mar 202600:23:15

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In this episode of Found in AI, Cassie sits down with Lars Lofgren—organic marketing veteran, former affiliate business owner, and SEO consultant for enterprise brands including Automattic and Perplexity—to dig into one of the biggest mental model shifts happening in search right now: the move from domain-level thinking to entity authority.

Lars explains how his entire SEO framework broke between 2022 and 2024, why sites with massive domain ratings started getting crushed, and what he rebuilt from scratch after throwing out everything he thought he knew.

In this episode, you'll learn:

  • What entity authority is and why it's replaced domain authority as the primary unit of analysis in search
  • Why sites with high domain ratings can still perform poorly in both traditional and AI search
  • How Google and LLMs map entities across the entire web, not just your website
  • Why Lars recommends starting with social channels before SEO, especially for new or early-stage brands
  • How building your entity on platforms like LinkedIn, YouTube, and Reddit gives SEO the wind at its back
  • Why picking at least two channels and committing to them long-term is critical for entity building
  • How the FSA Framework's Authority principle connects directly to the entity-first approach Lars describes

If you've been wondering why great content and strong domain authority aren't translating into AI visibility—or where to even start building your brand's presence in AI-generated answers—this episode lays it out.

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Are Reddit Mentions About to Become Transactions?26 Feb 202600:11:06

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In this episode of Found in AI, Cassie breaks down Reddit’s latest AI-powered shopping test—and why it’s bigger than it looks.

Reddit is now surfacing interactive product carousels inside search results, pulling directly from community conversations. What looks like a simple UX update is actually a major shift: community recommendations are becoming structured, AI-surfaced commerce.

In this episode, Cassie explains what this means for brands that care about AI visibility—and what to do about it before competitors catch on.

In this episode, you’ll learn:

  • Why Reddit’s AI shopping test signals a shift from citation to transaction
  •  How community mentions can become structured commerce surfaces
  •  Why Reddit search growth (60M → 80M weekly users) changes the visibility equation
  •  How to create a human-branded Reddit presence that builds credibility
  •  Why building a branded subreddit can function as AI-friendly documentation
  •  How to participate in conversations without triggering Reddit backlash
  •  What Reddit affiliate strategy could mean for AI-driven product discovery

If you’ve been treating Reddit as optional in your AI search strategy, this episode will likely change your mind.

Resources: 

impact.com: Why offsite content increases brand visibility in AI search and overviews: The top 3 factors that matter.

Found in AI with Danny Kirk: Why Do Reddit Comments Matter More Than Posts in AI Search?

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

What Does It Take To Actually Get Cited in AI Search? (Hint: SEO, PR, and Reputation Management)17 Mar 202600:28:25

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In this episode of Found in AI, Cassie sits down with Jonathan Bentz, Growth Strategist at Direct Online Marketing, to challenge one of the longest-standing mantras in marketing: "content is king." Jonathan makes a compelling case that AI search visibility isn't a content production problem—it's a validation problem. 

If your strategy stops at your own website, you're only giving AI engines one source to work with. Jonathan breaks down the three disciplines that need to work together for AI visibility—SEO, reputation management, and digital PR—and explains why most teams are only doing one of them. Cassie connects his insights back to the FSA Framework and walks through exactly how press releases, review platforms, and unified messaging map to Freshness, Structure, and Authority.

In this episode, you'll learn:

  • Why "content is king" no longer applies to AI search — and what Jonathan means when he calls AI visibility a validation problem
  • The three marketing disciplines that need to come together for AI search success, and why SEO alone isn't enough
  • How AI engines use platforms like G2, Capterra, and TrustRadius to build agreement about your brand — and what happens when that agreement isn't in your favor
  • Why press releases are making a comeback as an authority and freshness strategy, even on a shoestring budget
  • The role customer service and customer experience now play in how AI engines perceive your brand
  • How reputation management has shifted from a defensive play to an offensive AI visibility strategy
  • Why unified messaging across PR, marketing, social, and customer support is now a structural signal AI engines rely on
  • How Jonathan's three disciplines map directly to the FSA Framework (Freshness, Structure, Authority) — and what to prioritize first if you only have 90 days

Resources:

Webinar (March 26, 2026, at 1 pm EST): Boardroom Ready: A CMO's Guide to GEO

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

LinkedIn Is Now the #2 Source for AI Answers (and What That Means for Your Strategy)12 Mar 202600:11:50

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Semrush just dropped a massive study analyzing 89,000 unique LinkedIn URLs cited by ChatGPT Search, Google AI Mode, and Perplexity—and the findings have major implications for how brands think about LinkedIn content, AI visibility, and distribution strategy.

In this episode, Cassie breaks down the key findings and what they mean through the lens of the FSA Framework (Freshness, Structure, Authority).

What we cover:

  • Why LinkedIn is now the second most cited domain across major AI engines — ahead of Wikipedia, YouTube, and every major news publisher
  • What semantic similarity scores reveal about how much influence your LinkedIn content has on AI-generated answers
  • The content formats, lengths, and intent types that get cited most (and what gets ignored)
  • Why consistency and expertise matter more than follower count or viral reach
  • How Company Pages and individual creators get treated differently across ChatGPT Search, Perplexity, and Google AI Mode
  • What all of this means through the FSA Framework, and how to apply it to your LinkedIn strategy now

Resources:

Semrush's LinkedIn AI Visibility Study

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Reddit's AI Citations Dropped 50% — Should You Still Build Your Strategy Around It?10 Mar 202600:15:34

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In this episode of Found in AI, Cassie breaks down new research from Conductor showing that Reddit's AI citation share dropped 50% in just four months — and why that doesn't mean what you think it means. She also shares clips from her conversation with Chelsea Castle, head of content and brand at Close, on how her team is approaching Reddit right now.

The headline: Reddit isn't disappearing from AI answers. It's narrowing. LLMs are shifting from volume-based sourcing to intent-based citation, and when Reddit does get cited, it's increasingly the only source in the response. Cassie explains what this means for your strategy, why banking on any single tactic is a mistake, and how the FSA Framework ties it all together.

In this episode, you'll learn:

  • What Conductor's research actually found about Reddit's AI citation decline—and the second data point most people are missing
  •  How LLMs are shifting from volume-based sourcing to intent-based citation, and what that means for your content
  • Which prompt types Reddit dominates and where brands have a real opening to win citations back
  • How Chelsea Castle's team at Close is using Reddit character accounts to build trust in communities
  • Why Reddit, listicles, or any single tactic alone is not an AI visibility strategy
  • How the FSA Framework (Freshness, Structure, Authority) maps directly to the gaps Conductor's research uncovered
  • What to do this week to start competing with Reddit for AI citations using your owned content

Resources:

Conductor's full research

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Do Press Releases Work for AI Search Visibility? I Tested It.24 Mar 202600:22:39

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In this follow-up to last week's episode with Jonathan Bentz, Cassie Clark documents what happened when she tested one of Jonathan's top recommendations: using press releases to strengthen entity authority in AI search.

On Friday, March 20th, Cassie published a press release through EIN Presswire announcing her ebook, Freshness, Structure, Authority: The Framework for AI Search Visibility. Within two hours, she was appearing in AI-generated answers across ChatGPT, Google AI Overviews, Google AI Mode, and Gemini — listed alongside established names in the AI search space. 

This episode breaks down exactly what happened, why it worked through the lens of the FSA Framework, and addresses a recent Search Engine Journal article claiming AI search barely cites syndicated press releases. Cassie also discusses the ethical considerations of using press releases for AI visibility and provides clear guidance on what qualifies as valid press release news.


In This Episode:

  • The full timeline of what happened after the press release was distributed
  • Why PRLog and EIN Presswire produced different levels of impact
  • How the FSA Framework (Freshness, Structure, Authority) explains the results
  • A response to Search Engine Journal's article on AI citations and press releases
  • Why the data may look different for smaller brands versus large enterprises
  • Ethical guardrails: what counts as valid press release news and what doesn't
  • How to replicate this strategy responsibly for your own brand

Resources:

Case Study: How a Single Press Release Landed My Brand in AI-Generated Answers in Under Two Hours

FSA Framework Ebook: Freshness, Structure, Authority: The Framework for AI Search Visibility

Search Engine Journal Article: AI Search Barely Cites Syndicated News Or Press Releases

EIN Presswire: einpresswire.com

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

OpenAI’s Prompt Injection Framework + Google’s Personal Intelligence: What Marketers Need to Know19 Mar 202600:14:38

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This week on Found in AI, Cassie is covering two major developments that signal where AI search is heading, and what marketers and founders should be paying attention to right now.

First, OpenAI published a detailed security framework on how they’re designing AI agents to resist prompt injection. They’ve confirmed this is an ongoing challenge that won’t be fully “solved,” and they’re training their systems to be increasingly skeptical of content that tries to game them. For marketers, this reinforces why genuine authority and clean structure matter more than ever.

Then, Google announced the expansion of Personal Intelligence across AI Mode in Search, the Gemini app, and Gemini in Chrome. Search is now pulling from users’ Gmail, Google Photos, and purchase history to deliver hyper-personalized answers. For brands, this means first-party data has just become a critical part of an AI visibility strategy.

Both stories point to the same conclusion: AI systems are getting smarter about trust, and the brands that earn it are the ones that stay visible.

Covered in this episode:

  • What prompt injection is and why OpenAI says it’s unlikely to ever be fully solved
  • How OpenAI is using automated red teaming to find new attack patterns before bad actors do
  • Why AI agents being trained to resist manipulation is a signal that trustworthy, well-structured content wins
  • What Google’s Personal Intelligence feature does and how it’s changing search personalization
  • Why first-party data (collected ethically) has just become even more critical for AI visibility
  • How entity authority is expanding from the public web into someone’s personal Google ecosystem
  • How both stories connect back to the FSA Framework and what it means for your content strategy

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

How Does Local SEO Translate to AI Search Visibility?31 Mar 202600:21:48

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If you've spent years building your local SEO, you're closer to AI search visibility than you think. But the signals work differently than you might expect.

In this episode, Cassie sits down with Tommy Landry, founder of Return On Now in Austin, Texas. Tommy has been in search marketing since 2009 and made a significant pivot toward AI optimization in 2022. He and Cassie dig into how local SEO fundamentals translate directly to AEO and GEO, and where the blind spots are that most businesses don't see coming.

The conversation covers NAP consistency, entity signals, the growing weight of review sentiment inside AI engines, why digital PR matters more than ever for LLM visibility, and a Better Business Bureau story that should make every brand audit their online reputation immediately.

In This Episode:

  • Why local SEO signals like NAP consistency and location schema already feed AI-generated answers
  • How AI engines use third-party mentions—even without a link—to validate your brand
  • Why review sentiment is now being ingested by AI platforms and how negative reviews can tank AI visibility
  • The Better Business Bureau example that proves AI engines are surfacing reputation data
  • Entity consistency: why saying the same thing about your brand, the same way, everywhere is a foundational AI search strategy
  • How digital PR is making a serious comeback as a driver of LLM visibility
  • Why the brands already doing local SEO well have a leg up in AI search

Resources:

What is the FSA Framework?

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Google’s Fastest Spam Update Ever, OpenAI Kills Sora & Pivots to Shopping, and What 81K People Want from AI26 Mar 202600:15:51

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This week on Found in AI, Cassie is covering two major developments and one fascinating research study that all point to where AI search is heading — and what marketers and founders should be paying attention to right now.

Covered in this episode:

  • Why Google's 19.5-hour spam update rollout is historically significant and what it tells us about enforcement speed
  • What SpamBrain targets and why clean, structured content doesn't get caught in spam updates
  • How the FSA Framework (Freshness, Structure, Authority) maps to spam-proof content strategy
  • Why OpenAI's Instant Checkout failed and what Walmart's conversion data revealed
  • How ChatGPT is pivoting from in-app checkout to product discovery — and which major retailers are already integrated
  • Why Walmart is embedding its own AI chatbot (Sparky) inside ChatGPT instead of using OpenAI's infrastructure
  • What Sora's shutdown and the collapsed Disney deal signal about OpenAI's priorities ahead of its IPO
  • Why conversational product discovery is a visibility and entity play for brands
  • What Anthropic learned from 81,000 qualitative interviews about what people want — and fear — from AI
  • How all three stories connect to the bigger picture of trust, authority, and AI visibility

Resources:

Google’s Spam Policies

OpenAI: Powering Product Discovery in ChatGPT

Anthropic: What 81,000 People Want from AI 

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Google's March 2026 Core Update, the Reddit Visibility Myth, and What's Coming at Cloud Next02 Apr 202600:15:18

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Google's March 2026 core update just hit, and it's one of the most volatile updates in recent memory. But if you've been paying attention to how AI engines choose sources, the signals Google is rewarding shouldn't surprise you.

Cassie also digs into a Search Engine Land piece that challenges one of the most popular narratives in GEO right now: that brands need a Reddit and Wikipedia strategy to earn AI citations. The data tells a very different story—and it reinforces why authority means consistency in your category, not virality on someone else's platform. The episode wraps with a preview of Google Cloud Next (April 22–24) and what marketers should be watching for as AI Mode in Search continues to expand.

In This Episode:

  • Why the March 2026 core update is the most volatile since August 2024, with Semrush Sensor hitting 9.5/10 and over 55% of tracked sites showing significant movement
  • How Google's spam update and core update worked as a one-two punch—clearing bad actors first, then recalibrating quality signals
  • The pattern behind who's losing: generic content, mass-produced AI content without unique value, and the "publish for every keyword" playbook that's now collapsing
  • Why Experience and Authoritativeness—the signals Google just tightened—map directly to how AI engines decide who gets cited
  • How the FSA Framework explains why some brands are insulated from core update volatility and others aren't
  • New data showing 80% of Reddit threads cited by AI have fewer than 20 upvotes, with an average post age of roughly 900 days, proving that Reddit virality is not an AI visibility strategy
  • Why your website is still your most powerful asset for AI visibility, and why manufactured presence on third-party platforms is the wrong play for most brands
  • What to watch for at Google Cloud Next: Gemini API updates, AI Mode in Search expansion, and the rise of agentic AI systems

Resources:

What is the FSA Framework?

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Why 93% Zero-Click Isn't a Bug (It's the Product)23 Apr 202600:17:08

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This week on Found in AI, Cassie Clark breaks down the three AI search stories shaping 2026 strategy right now, and why the one that looks like a small UX tweak is actually the biggest.

On April 16, Google rolled out a Chrome update for AI Mode that opens clicked links side-by-side with the AI conversation instead of in a new tab. The AI Mode panel now becomes a permanent layer in the browsing experience, and new data shows 93% of AI Mode searches end without a click to any external site. A SE Ranking study covered by WIRED found that the most-linked domain inside AI Mode answers is Google.com itself.

Meanwhile, Statcounter's March 2026 data dropped in early April — Google Gemini overtook Perplexity to become the #2 source of AI chatbot referral traffic worldwide, Claude nearly tripled month-over-month, and ChatGPT dipped below 80% for the first time. The AI referral market is fragmenting, and single-platform visibility strategies are now a liability.

OpenAI also shipped gpt-image-2 on April 21 — its first image model with reasoning built in — and the implications for multimodal retrieval matter more than they look.

In this episode:

  • Why Google's split-screen AI Mode is an enclosure strategy, not a UX upgrade
  • What the 93% zero-click rate actually tells you about product design
  • The Statcounter data showing how AI referral traffic is redistributing across ChatGPT, Gemini, Perplexity, and Claude
  • Why a single-platform AI visibility plan is a liability in 2026
  • How the FSA Framework maps to the new AI search reality
  • Five tactical moves to make this week

Resources:

SEO Roundtable's AI Mode Article

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Agentic Conversion Rate: The GEO Metric Nobody's Tracking Yet21 Apr 202600:22:28

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With ChatGPT agents, Claude in Chrome, Perplexity Comet, Cowork, and Gemini agents now doing the reading — and the deciding — on behalf of buyers, there's a new gap in GEO measurement that almost nobody is tracking yet. Cassie is calling it Agentic Conversion Rate (ACR), and this episode is where she introduces it.

In this episode, Cassie walks through the full 5-layer GEO measurement framework (Presence, Positioning, Performance, Pipeline, and the new one — Action), defines ACR, explains why it matters now, and gets honest about what you can actually measure in April 2026 versus what the tooling still needs to catch up to. Plus: which businesses should prioritize ACR immediately, which ones can keep focusing on citation for now, and the biggest gap in GEO tools right now that no dashboard is solving.

If you're running a GEO strategy — or trying to figure out whether you should be — this is the framework.


What You'll Learn

  • Why most GEO measurement frameworks (including the one Cassie was teaching a month ago) are already out of date
  • The full 5-layer GEO measurement framework for 2026: Presence, Positioning, Performance, Pipeline, and Action
  • What Agentic Conversion Rate (ACR) is, why Cassie coined it for GEO, and why it matters now
  • How agents are already making shortlist, comparison, and purchase decisions on behalf of buyers — and what that means for your content
  • The honest answer to "how do you measure ACR?" in April 2026 (hint: imperfectly, and that's okay)
  • Which business models should prioritize ACR immediately (and which can keep focusing on citation for now)
  • Why GEO tools show you the numbers but never tell you what to fix — and what to do about that gap

Resources:

The FSA Framework on HubSpot

GEO Metrics 2026

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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